{"id":"W4236062734","doi":"10.3138/jsp.37.2.136","title":"What Happens When the Author Does Not Provide an Abstract","year":2006,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generality; Disadvantage; Search engine indexing; Computer science; World Wide Web; Management; Artificial intelligence; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch","scholarly_communication"],"domain":"reporting","study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","scholarly_communication"],"domain":"reporting","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.05772518,0.0005632035,0.000891041,0.002493576,0.008865194,0.01543053,0.00227807,0.007851,0.02533162],"category_scores_gemma":[0.333721,0.001073472,0.0008796711,0.003428745,0.005601236,0.01675151,0.004789504,0.005820799,0.02140186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00560339,"about_ca_system_score_gemma":0.008137264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005798825,"about_ca_topic_score_gemma":0.005385523,"domain_scores_codex":[0.9269426,0.02902016,0.01141038,0.006556985,0.02235644,0.00371355],"domain_scores_gemma":[0.7468721,0.1218475,0.03219377,0.03755662,0.05257794,0.008952025],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001146673,0.0003602881,0.03834369,0.00140981,0.0001951905,0.0113418,0.06832053,0.000777644,0.003753903,0.1323552,0.5623509,0.1796443],"study_design_scores_gemma":[0.000135504,0.0001854867,0.008883534,0.002017586,0.0001853583,0.008478381,0.05342737,0.001403207,0.006328826,0.08187629,0.8367655,0.0003128961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1557811,0.01063301,0.07538369,0.3310242,0.04725986,0.0006729406,0.002392544,0.006443746,0.3704089],"genre_scores_gemma":[0.7734149,0.008459627,0.0280768,0.05800516,0.009407992,0.0005783399,0.002311706,0.004969166,0.1147763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9845695,"threshold_uncertainty_score":0.3052835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06708405637396002,"score_gpt":0.2677051018352893,"score_spread":0.2006210454613293,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}